Provides routines for distance based bipartite matching to reduce
covariate imbalance between treatment and control groups in observational
studies. Routines are provided to generate distances from GLM models (propensity
score matching) and formulas (Euclidean and Mahalanobis matching), stratified
matching (exact matching), and calipers. Results of the fullmatch routine are
guaranteed to provide minimum average within matched set distance.
| Version: |
0.9-5 |
| Depends: |
R (≥ 2.15.1), stats, methods, graphics, survival |
| Imports: |
Rcpp, RItools, digest |
| LinkingTo: |
Rcpp |
| Suggests: |
boot, biglm, testthat, brglm, arm |
| Published: |
2015-07-31 |
| Author: |
Ben B. Hansen, Mark Fredrickson, Josh Buckner, Josh Errickson, and Peter
Solenberger, with embedded Fortran code due to Dimitri P. Bertsekas and Paul Tseng |
| Maintainer: |
Mark M. Fredrickson <mark.m.fredrickson at gmail.com> |
| License: |
file LICENSE |
| URL: |
http://www.r-project.org,
https://github.com/markmfredrickson/optmatch |
| NeedsCompilation: |
yes |
| Citation: |
optmatch citation info |
| Materials: |
NEWS |
| In views: |
Optimization, SocialSciences |
| CRAN checks: |
optmatch results |